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Now showing items 17262-17281 of 24088
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Predicting Skin Permeability by means of Computational Approaches : Reliability and Caveats in Pharmaceutical Studies
(2019-05-28)The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters. ... -
Predicting Smartphone Operating System from Personality and Individual Differences
(2016-12-01)Android and iPhone devices account for over 90 percent of all smartphones sold worldwide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist ... -
Predicting Successful Introduction of Novel Fruit to Preschool Children
(2012-12)Background: Few children eat sufficient fruits and vegetables despite their established health benefits. The feeding practices used by parents when introducing novel foods to their children, and their efficacy, require ... -
Predicting the Absorption Rate of Chemicals Through Mammalian Skin Using Machine Learning Algorithms
(2016-11-10)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This thesis evaluates the application of these methods to the problem domain of skin permeability. ML methods offer great ... -
Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks
(2017-01-01)Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of respiratory diseases, but are complex products with multivariate performance determinants. Heuristic product development ... -
Predicting the Strength of Cohesive and Adhesive Interparticle Interactions for Dry Powder Inhalation Blends of Terbutaline Sulfate with α‑Lactose Monohydrate
(2023-09-08)Grid-based systematic search methods are used to investigate molecule–molecule, molecule–surface, and surface–surface contributions to interparticle interactions in order to identify the crystal faces that most strongly ... -
Predicting timing of release of ascospores of Leptosphaeria spp. to improve control of phoma stem canker on oilseed rape in the UK
(2014-06)Phoma stem canker is an economically damaging disease of oilseed rape crops, causing an annual loss estimated at more than £87M in the UK at a price of £390/t. It is caused by two related pathogens: Leptosphaeria maculans ... -
Predicting voluntary movements from motor cortical activity with neuromorphic hardware
(2017-05-23)Neurons in the mammalian motor cortices encode physical parameters of voluntary movements during planning and execution of a motor task. Brain-machine interfaces can decode limb movements from the activity of these neurons ... -
Prediction Error in Reinforcement Learning : A Meta-analysis of Neuroimaging studies
(2013-08)Activation likelihood estimation (ALE) meta-analyses were used to examine the neural correlates of prediction error in reinforcement learning. The findings are interpreted in the light of current computational models of ... -
Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks
(2012)In this work, we present a novel approach for the development of models for prediction of aqueous solubility, based on the implementation of an algorithm for the automatic adjustment of descriptor's relative importance ... -
Prediction of astrophysical reaction rates : Methods, data needs, and consequences for nucleosynthesis studies
(American Institute of Physics (AIP), 2000)The majority of nuclear reactions in astrophysics involve unstable nuclei which are not fully accessible by experiments yet. Therefore, there is high demand for reliable predictions of cross sections and reaction rates by ... -
Prediction of astrophysical reaction rates as a challenge to nuclear physics
(2003-05-05)Explosive nuclear burning in astrophysical environments produces unstable nuclei which again can be targets for subsequent reactions. In addition, it involves a large number of stable nuclides which are not fully explored ... -
Prediction of binding modes for ligands in the cytochromes p450 and other heme-containing proteins
(2005-03-01)The cytochromes P450 (P450s) are a family of heme-containing monooxygenase enzymes involved in a variety of functions, including the metabolism of endogenous and exogenous substances in the human body. During lead optimization, ... -
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
(2008)Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ... -
Prediction of eyespot severity during grain-filling
(Schering AG, 1993) -
Prediction of Eyespot Severity on Winter Wheat or Winter Barley Inoculated with W-type or R-type Isolates of Pseudocercosporella herpotrichoides
(1991-06)In crops of winter wheat (1986-88) or winter barley (1987-88) inoculated with W-type or R-type isolates of Pseudocercosporella herpotrichoides and sown on different dates (1986) or at different seed rates (1987, 1988) ... -
Prediction of ligands to universally conserved binding sites of the influenza A virus nuclear export protein
(2019-11-01)The nuclear export protein (NEP) of the influenza A virus exports viral ribonucleoproteins to the host cell cytoplasm following nuclear transcription. In this work conservation analysis of 3000 protein sequences and molecular ...